Selected Healthy Behaviors and Quality of Life in People Who Practice Combat Sports and Martial Arts

Different Methods of Winning, Losing, and Training in Combat Sports and Their Relationship with Overall Competitive Winningness

This study aimed to investigate how overall competitive winningness in combat sports depended on patterns of victory and loss, as well as training habits. Competitors (N = 280) from several combat sports participated in the study. The online survey included questions on self-reported patterns of victory (and loss), training habits, general demographics (e.g., age), and sport-specific information (e.g., stage of career and competitive style). Overall, it was found across four models that reflected diversity of winningness in combat sports that the most important predictors of competitive winningness were loss by points (negative), loss by submission (negative), loss (negative) or victory (positive) by throw or technical fall, and loss (negative) or victory (positive) by knockout. The findings applied to amateur and regional/state athletes, and rarely to karate or tae kwon do. Findings around demographics or training habits were largely unremarkable, outside of a relationship between higher training loads and less career winning in wrestlers. Results show that while winning via a finishing sequence (e.g., knockout or submission) is preferable to the judge's decision or points, the matter of victory is less important than the methods by which an athlete loses. In grappling-only sports, we observed a trend that more losses via finishing sequence were worse for careers than losing by points. In fact, having most of one's losses coming via judge's decision or points was beneficial in wrestling and judo, perhaps due to athletes taking less risks and having better defence. These findings may aid practitioners developing effective tactics and training programs.

The Intensity of the Health Behaviors of People Who Practice Wheelchair Basketball, Wheelchair Rugby and Para-Rowing

Sports serve people with disabilities as a form of rehabilitation. Sporting activity is a health-promoting behavior choice and a chance to achieve the best possible sports results. The aim of this study was to evaluate the intensity of health behaviors in people practicing wheelchair basketball, wheelchair rugby and para-rowing. The study encompassed 176 athletes with disabilities, aged 19 to 49 (mean age 34.41 ± 8.56), from all over Poland. Men accounted for 83.5% of the respondents. They all had a significant degree of disability and used wheelchairs in their daily lives. The authors used Juczyński’s Health Behavior Inventory (HBI) and the authors’ own survey questionnaire. Nonparametric tests were used. A greater intensity of health behaviors in general (HBI—point score) and in four categories (correct eating habits—CEH, preventive behaviors—PB, positive mental attitude—PMA, health practices—HP) was observed in rugby and basketball players (compared with para-rowers). Disabled rowers achieved the poorest results. Polish Champions scored better results in preventive behaviors (PB) and weaker results in positive mental attitude (PMA)compared with those practicing amateur sport. Respondents who trained every day and had the longest weekly exercise time (>360 min) achieved the highest results in HBI in general and in all categories compared with those who trained once a week for less than 120 min a week. Respondents with higher education, those in a better financial situation, those who were employed and married, and those who were rural residents displayed a greater intensity of health-related behaviors. People in a more difficult financial situation, who had less education, who were cohabiting, and who lived on only a pension presented more preventive behaviors. There is a need for systemic health education aimed at people with disabilities who practice various sports disciplines.

Quality of Life Determinants in Professional Athletes

Background

The study attempted to answer the question of whether the type of practiced sport (individual, team) is a determinant of quality of life in athletes. The study was also intended to identify the best quality of life determinants in professional karate practitioners and team sports players from among such socio-cultural factors as age, gender, marital status, material situation, level of education, and types of health behaviors.

Methods

The study involved 110 Polish players of team sports and 90 martial arts practitioners. All competitors had high sporting achievements. A Paper-and-Pen Interview questionnaire was used as a standardized survey method. The Inventory of Health Behaviors was used to evaluate respondents’ health behaviors. The Comprehensive Quality of Life Scale was used to measure the quality of life in its objective and subjective components.

Results

Among the predictors of quality of life, only three proved to be statistically significant: proper dietary habits (β = 0.204), positive mental attitude (β = 0.283) and athletes’ gender (β = 0.191). It turns out that men are statistically more likely to achieve a higher quality of life than women. The type of practiced sport did not turn out to be a quality of life determinant.

Conclusion

The type of practiced sport is not a significant quality of life predictor, perhaps because high-level sports activities are professional in nature, which makes the professional and sports activities uniform. The results of the study may suggest that the determinants of the quality of life of professional athletes are found in their personality rather than solely in their socio-cultural environment. Finally, studies of determinants of athletes’ quality of life can help develop optimal strategies for improving the quality of life in society in general; however, in-depth qualitative research also seems to be necessary to do it.

Examining the Impact of Gym Closures Due to the COVID-19 Pandemic on Combat Sport Athletes’ Mental Health

Changes in exercise behavior and negative emotional states (i.e., depression, anxiety, and stress) in combat sport (e.g., boxing, wrestling, martial arts) athletes were examined the month prior to gym closures related to the COVID-19 pandemic (February 2020), and approximately 1 month following gym closures (May 2020). A total of 312 combat sport athletes from 33 different countries responded to the study solicitation. Results indicated a significant decrease in combat sport training following gym closures; however, participation in other exercise activities did not significantly change. Significant mean increases in depression, anxiety, and stress were found following combat gym closures. Regression analyses revealed that number of hours of participants participated in combat sport training added significant incremental variance explained in depressive and stress symptoms above and beyond that accounted for by sex differences, preexisting conditions, and training level. Practical implications regarding losses to preferred exercise activities are discussed.

Profiling Combat Sports Athletes: Competitive History and Outcomes According to Sports Type and Current Level of Competition

BACKGROUND

This study aimed to investigate the competitive history (the age when training and competing started), training habits and patterns of winning and losing of competitive combat sports athletes across different combat sports as well as the level of competition (e.g. amateurs, state-level and elite).

METHODS

Competitors (N = 298) from mixed martial arts (MMA), Muay Thai/kickboxing, boxing, Brazilian jiu-jitsu (BJJ), wrestling, judo and traditional striking sports (TSS) completed an online questionnaire.

RESULTS

Most athletes began competing in their mid-teenage years and competing soon after except for wrestlers who began earlier. Elite athletes began training earlier than amateurs (13.75 ± 7.75 years and 16.2 ± 7.45 years, p<0.01, respectively). Training habits were similar across sports (~4 combat and ~3 non-combat training sessions per week), except for MMA and wrestling which did more combat sports-specific training than Judo and TSS. Wrestlers did more non-combat sports-specific training than all other sports. Elite athletes completed more combat sessions per week than their lower-level contemporaries (4.64 ± 2.49 and 3.9 ± 1.44, p=0.01, respectively). Patterns of winning or losing were consistent across sports, except for amateur athletes who were more likely to report all their victories by points and none of their victories by submission or pin. Additionally, elite athletes are less likely to report none of their victories coming by knockout.

CONCLUSIONS

Results may indicate that finishing ability is a key distinguisher of competitive level. The present study provides normative data for training and competing habits for athletes, support staff and regulators to use.

Quality of life in Brazilian martial arts and combat sports practitioners

Study aim: Martial arts and combat sports have been an alternative for individuals seeking the health benefits of physical activity and exercise, but little is known about its practitioners’ quality of life. Therefore, this study aimed to investigate the quality of life of practitioners of five of the most common modalities in Brazil.

Material and methods: A total of 922 young men, competitive and recreational practitioners of Brazilian jiu-jitsu, judo, karate, kung-fu, and taekwondo, answered the Brazilian version of the WHOQOL-BREF questionnaire.

Results: The results for each domain – physical, psychological, social, and environmental – are, respectively, as follow (mean ± standard deviation): Brazilian jiu-jitsu: 74 ± 11, 75 ± 12, 77 ± 17, 67 ± 14; judo: 74 ± 13, 75 ± 12, 77 ± 15, 64 ± 12; karate: 76 ± 13, 75 ± 12, 78 ± 15, 64 ± 13; kung-fu: 77 ± 13, 75 ± 13, 74 ± 17, 65 ± 13; taekwondo: 76 ± 12, 76 ± 11, 78 ± 16, 64 ± 13; total: 75 ± 13, 75 ± 12, 77 ± 16, 65 ± 13. There was no difference between modalities and no interaction between modalities and experience level. All groups and the total sample presented higher values than the normative national data in the physical and psychological domains. This was also the case for the judo, karate, and taekwondo groups, as well as the total sample in the social domain, and for the Brazilian jiu-jitsu and the whole sample in the environmental domain. Additionally, in the whole sample competitors scored higher than recreational practitioners in the psychological domain.

Conclusion: These findings reveal that the practice of these modalities is associated with higher quality of life than the normative values. Longitudinal studies are warranted for a better understanding of this association.

The Process of Constructing a Health Tourism Destination Index

The purpose of the study is to identify a set of key indicators with weightings for health tourism destinations by using an advanced analytic hierarchy process (AHP) method, derived from the official, academic, and professional opinions of the experts. The AHP method allocated weightings to the evaluation criteria selected by the fifteen experts. After expert evaluations were conducted, the three dimensions and eleven sub-dimensions of the initial health tourism destination were obtained as follows: (1) special demands and indications-medical care, health promotion, and tourism and leisure; (2) natural environment-climate, air, water, and light; (3) leisure activities and general demands-sports, therapeutic activities, interactions with animals and plants, and diet. The results revealed that the dimensions of special demands and indications were given the most attention and that the sub-dimensions of sports promotion were the highest ranked by expert groups. The official and academic opinions suggested that health tourism destinations should focus on special demands and indications, while professionals tended to consider the natural environment as a primary concern. In particular, they considered that good air quality can help people release pressure, relax, activate lymphocytes, improve immune function, and enhance disease immunity. The health tourism destination index can contribute to the overall strategic planning process by identifying improvements in activities and enhancing competitiveness in health tourism management by using benchmarking to further improve tourists' experience and satisfaction.

Intensity of Health Behaviors in People Who Practice Combat Sports and Martial Arts

Background: Health behaviors are associated with a healthy lifestyle, in which relative possibilities of choice play an important part. Athletes are a group of people who should particularly endeavor to have a health-oriented lifestyle. It is believed that combat sports (CS) and martial arts (MA) have an especially significant educational potential, connected with several desirable values which provide positive patterns of health behaviors. The aim of the work was to assess the intensity of health behaviors in athletes who practiced CS and MA in relation to the length of their training history, their age, sex, place of residence, education level, and financial situation. Methods: The research involved 441 men and women who practiced boxing (B), Brazilian ju-jitsu (BJJ), karate (K), mixed martial arts (MMA) and Muay Thai (MT). The average age of the subjects was 24.68 ± 8.24 years. The standardized Health Behavior Inventory (HBI) questionnaire and another questionnaire for a lifestyle survey were applied. Individual behaviors covered four areas: Correct eating habits (CEH), preventive behaviors (PB), positive mental attitude (PMA), and health practices (HP). The one-way analysis of variance (F-test) for independent groups was used (ANOVA). The effect size was calculated with Hedge's g for Student's t-test, and with Cramér's V for the χ² test. The value of p ≤ 0.05 was assumed to be statistically significant. Results: CS and MA athletes presented a moderate level of health behaviors. The greater intensity of health behaviors (HBI and its categories) was found among B, K and MMA athletes, and the smaller among those who practiced MT. Correct eating habits (CEH) were characteristic of subjects who practiced every day and whose length of training history was 4-8 years. Greater intensity of preventive behaviors (PB) was observed among individuals aged under-19 years, who still studied. Greater intensity of health practices (HP) was found among those who exercised every day. Influence of financial situation was observed in relations to PMA. Conclusions: It seems that the existing educational potential of CS and MA was not fully realized in the studied population. Determining the place of health in the system of values of CS and MA athletes may be the basis for predicting health behaviors and developing health education programs.